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Simulation to support local search in trajectory optimization planning
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Venable, K. Brent Morris, Robert A. Lindsey Sr., James |
| Copyright Year | 2012 |
| Description | NASA and the international community are investing in the development of a commercial transportation infrastructure that includes the increased use of rotorcraft, specifically helicopters and civil tilt rotors. However, there is significant concern over the impact of noise on the communities surrounding the transportation facilities. One way to address the rotorcraft noise problem is by exploiting powerful search techniques coming from artificial intelligence coupled with simulation and field tests to design low-noise flight profiles which can be tested in simulation or through field tests. This paper investigates the use of simulation based on predictive physical models to facilitate the search for low-noise trajectories using a class of automated search algorithms called local search. A novel feature of this approach is the ability to incorporate constraints directly into the problem formulation that addresses passenger safety and comfort. |
| File Size | 400411 |
| Page Count | 8 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20120011650 |
| Archival Resource Key | ark:/13960/t1bk6c65z |
| Language | English |
| Publisher Date | 2012-03-01 |
| Access Restriction | Open |
| Subject Keyword | Acoustics Costs Algorithms Simulation Noise Reduction Data Acquisition Aircraft Noise Heuristic Methods Field Tests Low Noise Rotary Wing Aircraft Artificial Intelligence Trajectory Optimization Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
